Computation of SOC in Pybamm

[alirahdarian]

Hello,

I would like to know how SOC is defined in Pybamm. I need to compute SOC at each time instant and track the SOC over time and I do not want to use culoumb counting. I want to use the SOC which is defined based on the concentrations. For example, in this code can you show me how i can compute the mentioned SOC at each time instant?

import pybamm
import numpy as np
import matplotlib.pyplot as plt
model = pybamm.lithium_ion.DFN()
dt=10
t_eval=t_eval=np.arange(0,106060,dt)
param1 = pybamm.ParameterValues("Prada2013")
Q_battery = param1["Nominal cell capacity [A.h]"] # in Ah
param1["Current function [A]"] = -0.23
SOC1_0 = 0
sim1 = pybamm.Simulation(model, parameter_values=param1)
solution1 = sim1.solve(t_eval, initial_soc=SOC1_0)
t1 = solution1["Time [s]"].entries
I1 = solution1["Current [A]"].entries
ocv1 = solution1["Battery open-circuit voltage [V]"].entries
DC1 = solution1["Discharge capacity [A.h]"].entries
V1 = solution1["Terminal voltage [V]"].entries
plt.figure(1)
plt.plot(t1, V1,label='V1')
plt.xlabel("time")
plt.ylabel("voltage")
plt.legend()
plt.show()

[ealand-q]

Hey, I also ran into this issue. How did you end up defining it?